1 citations · 1 across the 4 of their papers we have counts for
5 papers
Understanding Decision-Making Mechanisms in Neural Routing Solvers
Fatemeh Askari, Mazdak Teymourian, Mohammad Izadi +1
Neural Combinatorial Optimization (NCO) has achieved strong empirical success, yet the internal mechanisms driving model decisions remain largely unexplored. In this paper, we inve…
Mechanistic Interpretability of Large-Scale Counting in LLMs through a System-2 Strategy
Hosein Hasani, Mohammadali Banayeeanzade, Ali Nafisi +5
Large language models (LLMs), despite strong performance on complex mathematical problems, exhibit systematic limitations in counting tasks. This issue arises from the architectura…
Understanding Counting Mechanisms in Large Language and Vision-Language Models
Hosein Hasani, Amirmohammad Izadi, Fatemeh Askari +4
Counting is one of the fundamental abilities of large language models (LLMs) and large vision-language models (LVLMs). This paper examines how these foundation models represent and…
Uncovering Grounding IDs: How External Cues Shape Multi-Modal Binding
Hosein Hasani, Amirmohammad Izadi, Fatemeh Askari +4
Large vision-language models (LVLMs) perform well on multimodal tasks, but their ability to reason and precisely align visual and textual information still has room for improvement…
Visual Structures Helps Visual Reasoning: Addressing the Binding Problem in VLMs
Amirmohammad Izadi, Mohammad Ali Banayeeanzade, Fatemeh Askari +4
Despite progress in Large Vision-Language Models (LVLMs), their capacity for visual reasoning is often limited by the binding problem: the failure to reliably associate perceptual…